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Date posted:  Apr 7, 2021
Location: 

Berlin, BE, DE Brussels, Brussels-Capital Region, BE Vordingborg, DK Fredericia, South Denmark, DK Bucuresti, RO Szczecin, PL Veszprém, HU Antwerpen, Antwerp, BE Rotterdam, NL Terneuzen, NL Randers, Central Jutland, DK Vordingborg, DK Tertre, WHT, BE Praha, Central Bohemian Region, CZ

Job Function:  Information Technology
Job Type:  Permanent
Job Requisition ID:  4720

Data Engineer

About the Unit

For over a century, Yara has worked to feed the world and protect the planet, and their mission is to do so in a responsible and sustainable way. Yara Farming Solutions will lead the transformation towards more sustainable and efficient food production through innovative approaches in digital farming and agricultural transparency that lead to the overall reduction of the carbon footprint of crop nutrition.

Over the past decade, the agriculture industry has witnessed a dramatic surge in investment towards the digitization of farming by large incumbents, tech multinationals and innovative start-ups across the world. This development has caused the proliferation of data-based services aimed at improving farmers productivity and agricultural efficiency at large. However, to this date no company has achieved the sufficient depth and breadth of information required to offer really transformative, field-specific services, and many challenges prohibit farm and field data sharing at scale. Overcoming these challenges requires a truly collaborative, industry-wide approach for data management. In this context, Yara and IBM (the “Founders”) have issued a “call for action” to bring together institutions from across the world and jointly build an Open Farm and Field Data Exchange (from now on: “ODX” or “Platform”), modelled along the lines of similar data sharing schemes that have emerged in other industries recently.

Responsibilities

Data Engineer (m/f/d) in Central or Eastern Europe

  • Help to shape the Data Infrastructure and Process enabling the use of data to create Insights and Data Products
  • Develop, construct, test and maintain data architectures
  • Handle all data related activities such as data parsing, cleansing, quality definitions, pipelining, storage, maintenance of ETL scripts etc.
  • Support in building complex queries required by the platform teams
  • Handle data integration, consolidation and reconciliation activities for digital products
  • Provide governance support to ensure the data is stored and managed as per industry practices Manage deployment of analytics programs, machine learning and statistical methods
  • Support data preparation activities for analytics including pipelining, data cleansing and web scrapping
  • Help shape the data team and its procedures. As a member of a newly created group, there is a lot to contribute to
Profile
  • Hands on experience in data engineering projects such as writing SQL queries, SPARQL queries, data pipelining, API provisioning, database optimization / maintenance etc.
  • Ability to process and rationalize structured data, message data and semi/unstructured data and ability to integrate multiple large data sources and databases into one system
  • Proficient understanding of distributed computing principles and of the fundamental design principles behind a scalable application
  • Experience with NoSQL & relational databases (SQL, MySQL, PostgreSQL, Cassandra, Hive, MongoDB, etc.)
  • Knowledge of data architecture concepts such as database systems, schemas, data lakes etc. Worked with scalable architectures (lambda, containers etc.)
  • Understanding of the Big Data, Hadoop ecosystem
  • Able to code in Python, our preferred tech stack
  • Comfortable working with our tools: AWS, Mesos, GitLab, Jira, Docker, Kubernetes, Airflow and an instinct for automation
  • Desired personal/professional interest in the agricultural segments
  • Desired knowledge of AWS Data stack: AWS Glue, S3, Athenas, Redshift
  • Desired Kafka knowledge
Additional Information

This recruitment process will be managed by Korn Ferry and by submitting your application you acknowledge and confirm that your application details can be shared with them.  Korn Ferry will manage your data according to their privacy policy (https://www.kornferry.com/privacy) and Data Processing Agreement entered into with Yara.


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